Machine Learning Engineer, Ads Personalization
About The Position
The Gamer AI team develops conversion rate prediction and market price models that power ad ranking and recommendation systems. By leveraging large-scale data and contextual signals, we continuously enhance prediction relevance and accuracy. This drives outcomes such as higher user engagement, stronger conversion performance, and better return on ad spend, helping advertisers achieve their goals while delivering a more engaging experience for users. We are seeking a skilled Senior ML Engineer to build and maintain advanced systems for understanding user behavior across applications. You will be responsible for improving ad ranking, conversion predictions, and recommendation systems, enabling richer behavioral models, smarter bidding strategies, and more effective ad performance.
Requirements
- Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience.
- 5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems.
- 3+ years of experience in content understanding, behavior modeling, user profiling, and cohort analysis.
- Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
- Knowledge of metric design, experimentation methodologies, and large-scale data analysis.
Nice To Haves
- Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
- Experience with state-of-the-art control systems, reinforcement learning algorithms.
Responsibilities
- Design, implement, and maintain user understanding models.
- Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback.
- Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.
- Effectively communicate complex technical concepts to non-engineering stakeholders.
Benefits
- Comprehensive health, life, and disability insurance
- Commute subsidy
- Employee stock ownership
- Competitive retirement/pension plans
- Generous vacation and personal days
- Support for new parents through leave and family-care programs
- Office food snacks
- Mental Health and Wellbeing programs and support
- Employee Resource Groups
- Global Employee Assistance Program
- Training and development programs
- Volunteering and donation matching program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
